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Duration 21 hours
Course Outline
Introduction to Safety and Explainability in Robotics
- An overview of safety and transparency in robotic systems.
- The regulatory and ethical context for robotics and AI.
- Key standards and frameworks: ISO 26262, ISO 10218, and ISO/IEC 42001.
Risk and Hazard Analysis
- Identifying hazards in autonomous and semi-autonomous systems.
- Conducting Failure Mode and Effects Analysis (FMEA).
- Quantifying risk and implementing mitigation through safety design.
Verification and Validation Techniques
- Testing robotic behaviors within simulated environments.
- Implementing formal verification and designing test cases.
- Utilizing data-driven validation and monitoring techniques.
Safety Case Development
- Structuring and defining the content of a safety case.
- Documenting compliance and ensuring traceability.
- Employing tools for evidence management and risk justification.
Explainable AI for Robotics
- Enhancing the transparency of decision-making processes.
- Applying interpretability techniques to ML-based control systems.
- Explaining robotic behaviors to end-users and regulatory bodies.
Ethical and Governance Considerations
- Applying ethical principles to robotics and autonomous systems.
- Addressing bias, accountability, and responsibility in AI-driven robotics.
- Balancing innovation with public trust and regulatory requirements.
Hands-On Workshop: Building a Safe and Explainable Robotics Scenario
- Designing a small robotic simulation using ROS 2 or Gazebo.
- Applying verification and validation procedures in practice.
- Developing and presenting a summary of the safety case.
Summary and Next Steps
Requirements
- A fundamental understanding of robotics systems and control architectures.
- Proficiency with Python programming and relevant simulation tools.
- Knowledge of system engineering or established safety processes.
Audience
- System engineers specializing in robotics or autonomous systems.
- Safety officers responsible for compliance with functional safety standards.
- Technical managers overseeing the integration and deployment of robotics.
Testimonials (2)
Supply of the materials (virtual machine) to get straight into the excersises, and the explanation of the Ros2 core. Why things work a certain way.
Arjan Bakema
Course - Autonomous Navigation & SLAM with ROS 2
its knowledge and utilization of AI for Robotics in the Future.
